Methodology for Processing Raw LIDAR Data to Support Urban Flood Modelling Framework

Methodology for Processing Raw LIDAR Data to Support Urban Flood Modelling Framework

AngličtinaMäkká väzbaTlač na objednávku
Bin Abdullah Ahmad Fikri
Taylor & Francis Ltd
EAN: 9780415624756
Tlač na objednávku
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Podrobné informácie

The consequences of recent floods and flash floods in many parts of the world have been devastating. One way to improving flood management practice is to invest in data collection and modelling activities which enable an understanding of the functioning of a system and the selection of optimal mitigation measures. A Digital Terrain Model (DTM) provides the most essential information for flood managers. Light Detection and Ranging (LiDAR) surveys which enable the capture of spot heights at a spacing of 0.5m to 5m with a horizontal accuracy of 0.3m and a vertical accuracy of 0.15m can be used to develop high accuracy DTM but needs careful processing before using it for any application.This book presents the augmentation of an existing Progressive Morphological filtering algorithm for processing raw LiDAR data to support a 1D/2D urban flood modelling framework. The key characteristics of this improved algorithm are: (1) the ability to deal with different kinds of buildings; (2) the ability to detect elevated road/rail lines and represent them in accordance to the reality; (3) the ability to deal with bridges and riverbanks; and (4) the ability to recover curbs and the use of appropriated roughness coefficient of Manning‘s value to represent close-to-earth vegetation (e.g. grass and small bush).

EAN 9780415624756
ISBN 0415624754
Typ produktu Mäkká väzba
Vydavateľ Taylor & Francis Ltd
Dátum vydania 15. apríla 2012
Stránky 214
Jazyk English
Rozmery 246 x 174
Krajina United Kingdom
Čitatelia Postgraduate, Research & Scholarly
Autori Bin Abdullah Ahmad Fikri